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AI Data Architect (London based)
Job summary
A leading technology solutions provider is seeking an AI Data Architect in the City of Westminster. The role involves designing AI-ready data foundations, defining data models, and ensuring data governance. Candidates should have 3-5 years of relevant experience, solid skills in data modelling and pipeline management, and the ability to collaborate effectively with technical teams. A Bachelor's degree in a related field is required, along with proficiency in Python and SQL. This position promotes diversity and inclusion.
Qualifications
- 3-5 years of experience in data architecture or data engineering.
- Strong data modelling and database design skills.
- Hands-on experience in building data pipelines.
Responsibilities
- Design and maintain data models and schemas.
- Define scalable data storage architectures.
- Build and oversee ETL/ELT pipelines for data integration.
- Establish data governance and compliance standards.
- Collaborate to deliver AI-ready datasets.
Skills
Education
Tools
We are seeking an AI Data Architect to design and implement AI‑ready data foundations. You will define data models, storage patterns, pipelines, and governance frameworks that support machine learning and analytics. Working closely with data engineers and ML engineers, you will ensure data is well‑structured, accessible, secure, and scalable for AI use cases.
- Design and maintain data models and schemas (relational, graph, time‑series) aligned to AI and business needs.
- Define scalable data storage architectures across databases, data lakes, and warehouses in cloud environments.
- Build and oversee ETL/ELT pipelines to integrate batch and streaming data from multiple sources.
- Establish data governance, quality, security, privacy, and compliance standards.
- Implement metadata management and data lineage for transparency and traceability.
- Collaborate with data, ML, and analytics teams to deliver AI‑ready datasets and features.
- Monitor, optimise, and scale data platforms for performance, cost efficiency, and growth.
- Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience).
- 3‑5 years of experience in data architecture, data engineering, or similar roles.
- Strong data modelling and database design skills (SQL, relational, and NoSQL databases).
- Hands‑on experience building and managing data pipelines (ETL/ELT) using Python, SQL, or related tools.
- Experience with cloud‑based data platforms and modern data architectures.
- Solid understanding of data governance, quality management, security, and privacy.
- Strong communication skills and ability to collaborate across technical teams.
- Experience supporting AI/ML or advanced analytics projects.
- Familiarity with data catalogues, governance, and lineage tools (e.g., Collibra, Alation, Atlas).
- Exposure to ontologies, semantic modelling, or knowledge graphs.
- Experience with modern architectures (lakehouse, data mesh, streaming/event‑driven systems).
- Relevant cloud or data architecture certifications.
DXC Technology is an Equal Opportunity Employer. We celebrate diversity and inclusion and encourage applications from all backgrounds.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.